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Multi-criteria Decision Analysis: Linear and Non-linear Optimization of Aqueous Herbal Extracts (CROSBI ID 61416)

Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija

Gajdoš Kljusurić, J. ; Jurinjak Tušek, A. ; Valinger, D. ; Benković, M. ; Jurina, T. Multi-criteria Decision Analysis: Linear and Non-linear Optimization of Aqueous Herbal Extracts // Multicriteria Decision Analysis in Agriculture / Berbel, Julio ; Bournaris Thoams ; Manos Basil et al. (ur.). Cham: Springer, 2018. str. 167-184 doi: 10.1007/978-3-319-76929-5_7

Podaci o odgovornosti

Gajdoš Kljusurić, J. ; Jurinjak Tušek, A. ; Valinger, D. ; Benković, M. ; Jurina, T.

engleski

Multi-criteria Decision Analysis: Linear and Non-linear Optimization of Aqueous Herbal Extracts

This chapter is aimed to present the multi-criteria decision analysis: Linear and non-linear optimization of aqueous herbal extracts. Modelling is an indispensable part of food production, from “farm to fork”, where it is used to optimize the initial production of food and feed as well as in the food and feed processing. Different particle sizes of olive leaves were used in extraction of biologically active components using water as a solvent. Experiment conditions varied in mixing times (5, 10, 15 min), heating treatments (40 °C, 60 °C, 80 °C), Revolutions per minute: rpm (250, 500, 750 min−1) and particle sizes (100, 300, 500 μm). Based on the measured bioactive compounds (pH, total dissolved solids, conductivity, dry matter, total polyphenols and the antioxidant capacity by ABTS method, DPPH method and FRAP method). Aim was to develop models to support the optimization of this decision-making process—find the best experiment conditions for extraction of a certain bioactive compound. Two approaches ; linear and nonlinear approaches were investigated. Linear optimization is presented with two models: Response Surface Methodology and using linear programing based on the Simplex method while the nonlinear approach is presented by developing membership functions using fuzzy logic approach. Final results showed that, simple or complex, i.e. linear or nonlinear approach(es) in the search for optimal experiment conditions in extraction of bioactive compounds from olive leaves, will lead to an optimal solution, but the engineer will decide which approach is suitable for further application. Linear optimization and application of fuzzy logic resulted with the best possible offer per set limitations. But each approach resulted with other optimal extraction conditions. However, the application of fuzziness allowed the extension of the set of acceptable experiment combinations to achieve the best extraction of a bioactive component.

olive leaves extracts ; multi-criteria decision analysis ; linear optimization ; non-linear optimization ; process optimization

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Podaci o prilogu

167-184.

objavljeno

10.1007/978-3-319-76929-5_7

Podaci o knjizi

Multicriteria Decision Analysis in Agriculture

Berbel, Julio ; Bournaris Thoams ; Manos Basil ; Matsatsinis, Nikolaos ; Viaggi Davide

Cham: Springer

2018.

978-3-319-76928-8

2366-0023

Povezanost rada

Biotehnologija, Prehrambena tehnologija

Poveznice